肥満と遺伝子の関係を人種横断的に解析(Genes associated with obesity shared across ancestries, researchers find)

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2025-10-30 ペンシルベニア州立大学(Penn State)

Web要約 の発言:
ペンシルベニア州立大学(Penn State)の研究チームは、世界6地域の85万人超を対象にした解析で、肥満に関連する13の遺伝子を同定したと発表した(Nature Communications誌掲載)。うち8遺伝子は既知だが、5遺伝子(YLPM1, RIF1, GIGYF1, SLC5A3, GRM7)は初めて肥満との関連が確認された。これらの遺伝子は脳と脂肪組織で発現し、重度肥満のリスクを約3倍高める。研究はUK BiobankとAll of Usデータを統合し、多様な祖先集団間での共通性を解析。さらに糖尿病や心疾患との関連を媒介分析で明らかにし、一部遺伝子がBMIを介さず直接的に疾患リスクを高めることを示した。成果は肥満治療の精密医療開発に資する。

肥満と遺伝子の関係を人種横断的に解析(Genes associated with obesity shared across ancestries, researchers find)Credit: Deepro Banerjee, Girirajan Laboratory / Penn State. Creative Commons

<関連情報>

異祖解析による肥満遺伝子の発見 Discovery of obesity genes through cross-ancestry analysis

Deepro Banerjee & Santhosh Girirajan
Nature Communications  Published:30 October 2025
DOI:https://doi.org/10.1038/s41467-025-64933-7

Abstract

Gene discoveries in obesity have largely relied on homogeneous populations, limiting their generalizability across ancestries. Here, we conduct a gene-based rare variant association study of BMI on 839,110 individuals from six ancestries across two population-scale biobanks. A cross-ancestry meta-analysis identifies 13 genes, including YLPM1, RIF1, GIGYF1, SLC5A3, and GRM7, that confer about three-fold risk for severe obesity, are expressed in the brain and adipose tissue, and are linked to obesity traits such as body-fat percentage. While YLPM1, MC4R, and SLTM show consistent effects, GRM7 and APBA1 show significant ancestral heterogeneity. Polygenic risk additively increases obesity penetrance, and phenome-wide studies reveal additional associations, including YLPM1 with altered mental status. These genes also influence cardiometabolic comorbidities, including GIGYF1 and SLTM towards type 2 diabetes with or without BMI as a mediator, and altered levels of plasma proteins, such as LECT2 and NCAN, which in turn affect BMI. Our findings provide insights into the genetic basis of obesity and its related comorbidities across ancestries and ascertainments.

医療・健康
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